دورية أكاديمية

Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps)

التفاصيل البيبلوغرافية
العنوان: Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps)
المؤلفون: K. Förster, F. Hanzer, E. Stoll, A. A. Scaife, C. MacLachlan, J. Schöber, M. Huttenlau, S. Achleitner, U. Strasser
المصدر: Hydrology and Earth System Sciences, Vol 22, Pp 1157-1173 (2018)
بيانات النشر: Copernicus Publications, 2018.
سنة النشر: 2018
المجموعة: LCC:Technology
LCC:Environmental technology. Sanitary engineering
LCC:Geography. Anthropology. Recreation
LCC:Environmental sciences
مصطلحات موضوعية: Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350
الوصف: This article presents analyses of retrospective seasonal forecasts of snow accumulation. Re-forecasts with 4 months' lead time from two coupled atmosphere–ocean general circulation models (NCEP CFSv2 and MetOffice GloSea5) drive the Alpine Water balance and Runoff Estimation model (AWARE) in order to predict mid-winter snow accumulation in the Inn headwaters. As snowpack is hydrological storage that evolves during the winter season, it is strongly dependent on precipitation totals of the previous months. Climate model (CM) predictions of precipitation totals integrated from November to February (NDJF) compare reasonably well with observations. Even though predictions for precipitation may not be significantly more skilful than for temperature, the predictive skill achieved for precipitation is retained in subsequent water balance simulations when snow water equivalent (SWE) in February is considered. Given the AWARE simulations driven by observed meteorological fields as a benchmark for SWE analyses, the correlation achieved using GloSea5-AWARE SWE predictions is r = 0.57. The tendency of SWE anomalies (i.e. the sign of anomalies) is correctly predicted in 11 of 13 years. For CFSv2-AWARE, the corresponding values are r = 0.28 and 7 of 13 years. The results suggest that some seasonal prediction of hydrological model storage tendencies in parts of Europe is possible.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1027-5606
1607-7938
Relation: https://www.hydrol-earth-syst-sci.net/22/1157/2018/hess-22-1157-2018.pdf; https://doaj.org/toc/1027-5606; https://doaj.org/toc/1607-7938
DOI: 10.5194/hess-22-1157-2018
URL الوصول: https://doaj.org/article/def15a5e3e824e9ea1d9dd5d05e19712
رقم الأكسشن: edsdoj.f15a5e3e824e9ea1d9dd5d05e19712
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10275606
16077938
DOI:10.5194/hess-22-1157-2018